Are consumers at the base of the pyramid willing to pay for nutritious foods?

Base of the Pyramid (BoP) consumers living in the urban informal settlements of developing countries spend over 60% of their income on food, yet malnutrition and micronutrient deficiency remain widespread among these populations, pointing to the inadequacy of the foods they consume in terms of quality and quantity. In this paper we examine BoP consumers’ willingness to pay (WTP) for nutritious multi-composite porridge flour (improved flour) in the informal settlements of East Africa. The analysis is based on experimental data collected from 600 households in the informal settlements of Kampala, Uganda and Nairobi, Kenya (300 in each country) in 2016. We use Tobit regression models to analyse determinants of WTP for the improved porridge flour. Results show that both Kenyan and Ugandan BoP consumers are willing to pay a premium for the improved porridge flour. In addition, providing nutrition information about the flour, characteristics of household head, economic status of the household, and presence of young children between six and 59 months in the household, influence WTP for the safe and nutritious porridge flour. The paper concludes by providing recommendations for enhancing nutrition among poor consumers in the informal settlements of developing countries.     

家庭结构对农地流转意愿的影响——基于结构方程模型的实证分析

研究目的:分析家庭结构对农民流转土地意愿的影响,并揭示其内部机理的形成,以期为土地流转政策的完善提供参考。研究方法:因子分析法和结构方程模型。研究结果:(1)家庭人口特征、土地使用特征、户主个体特征及家庭决策特征4类外源潜变量会显著影响农地流转意愿;(2)可观测变量对外源潜变量的解释能力较强,其中,家庭总人口、实际经营及流转土地面积、户主年龄、家庭内部矛盾解决方式分别对这4类外源潜变量的解释能力相对较好,即家庭总人口越多、实际经营及流转土地面积越小、户主年龄越大、依赖于内部解决矛盾的家庭更愿意流转农地。研究结论:家庭结构主要通过主动依赖、扶养压力、收入偏好、农地保障、决策信息5种机理对流转意愿产生影响,未来土地流转政策的完善应重视解决这些问题。     

Residential segregation and educational attainment of children from regional migrant families in China

This paper studies the residential segregation effects on educational attainment of children from regional migrant families in China. We find that if migrant families live in segregated communities with fewer local residents, the school dropout rate of the children living with their parents in the host cities is higher and their high school enrollment rate is lower. We employ a unique set of nationwide survey data of regional migrants in China in 2012 and 2013 that comprises more than 150,000 individuals in each year. We first use the ratio of migrants over the total population residing in a community to measure segregation. When the ratio increases by 10%, the school dropout rate of migrant children increases by 4.7% from the mean value. Secondly, we identify segregation from the housing type of the migrant family. When they reside in the dorms provided by their employers or in the workplace, they will also be surrounded by many migrant colleagues. We find that living in such places increases the “not‐going‐to‐high‐school rate” of migrant children by 35% from the mean value. Our subsample analysis indicates that the segregation effects only exist in the samples of male migrant children and rural hukou families.     

Using paradata to collect better survey data: Evidence from a household survey in Tanzania

Data are a key component in the design, implementation, and evaluation of economic and social policies. Monitoring data quality is an essential part of any serious, large‐scale data collection process. The purpose of this article is to show how paradata should be used before, during, and after data collection to monitor and improve data quality. To do this we use timestamps, global positioning system (GPS) coordinates, and other paradata collected from an 800‐household survey conducted in Tanzania in 2016. We demonstrate how key paradata can be used during each phase of a research project to identify and prevent issues in the data and the methods used to collect it. Our results corroborate the importance of collecting and analyzing paradata to monitor fieldwork and ensuring data quality for micro data collection in developing countries. Based on these findings we also make recommendations as to how researchers can make better use of paradata in the future to manage and improve data quality. We argue for an expansion in the understanding and use of varied paradata among researchers, and a greater focus on its use for improving data quality.     

Access to Finance,Financial Development and Firm Ability to Export: Experience from Asia–Pacific Countries

With particular reference to Asia–Pacific countries, the present study examines how access to finance and financial development affects firms’ ability to enter export markets. Using firm‐level data from the World Bank Enterprises Survey, we found that access to finance plays a significant role in improving firms’ ability to export. In addition, development of the financial sector fosters export market entry. Among the financial development indicators, reach of the banking sector variable is most prominent. The present study suggests that improvements in access to finance and financial development (increases in the reach of the banking sector) enable firms operating away from capital or major cities to enter export markets easily. The present study supports policy intervention to strengthen access to the financial sector, which would encourage firms to export, and to facilitate export market entry for remotely located firms.     

互联网金融规制与市场有效性改善*——来自中国网络借贷行业的证据

中国的互联网金融经历了一个先创新发展后监管规制的过程，本文通过对网络借贷行业的实证研究，分析监管规则的出台实施对新型互联网融资市场有效性的影响。实证结果表明，网络借贷平台资金的银行存管、持有ICP证等强制性规定缓解了投资者、平台企业与借款人之间的信息不对称，对克服早期平台间通过竞相承诺高回报率来吸引投资者导致的“柠檬市场”问题、对解决网贷市场上缺乏平台风险性高低有效信号的问题都起到了正向作用，有助于互联网融资市场的有效性提高。     

Reciprocity between soccer events and visited destination in a border context

ABSTRACT

The study proposes a conceptual model based on hypothesized relationships among team fanship, satisfaction with the event, and host city as antecedents of behavioral intentions in the United States–Mexico border context. The analysis used data from 290 visitors who attended three soccer games of the Xoloitzcuintles team of Tijuana. The results revealed (1) the emotions felt at the visited destination had significant influences on fanship, satisfaction with event venue, and intentional behavior; (2) fanship and event satisfaction do not seem to influence the visitors’ intentions to return and recommend the visited place; (3) gender and duration of the stay showed a significant moderating function.     

Examining the influencing factors of intention to share accommodations in online hospitality exchange networks

ABSTRACT

CouchSurfing is a free social-network-based online hospitality exchange network, aptly representing a new sharing economy phenomenon. Based on social capital theory and previous literature, this study attempts to answer why hosts help strangers without any expected economic benefit within online hospitality exchange networks. An empirical study based on a Web survey conducted with CouchSurfing hosts reveals that the most identified antecedents (enjoy helping, shared narratives, desire to make friends, and reciprocity) are significantly related to hosts’ intention to share accommodations. Interestingly, the overshadowing effect of trust in CouchSurfing on the intention to share accommodations is also found.     

Empirical study on Chinese tourists’ perceived trust and intention to use biometric technology

This paper presents a theoretical model based on the Technology Acceptance Model combined with a perceived trust model. SPSS 23 and Amos 22 were used to analyze Chinese tourists’ responses regarding use of biometric technology in hotels and to assess whether their perception of trust – measured through five potential factors – affected their intention to use it. Chinese tourists traveling in Macau were recruited, and three types of biological identification technology were discussed. A total of 600 questionnaires were sent out, and 583 effective questionnaires were recovered. The results that in addition to perceived ease of use, other factors affected visitors’ perceptions of trust. The degrees of effectiveness, however, differed between the three biological identification technologies. Fingerprint technology was revealed to be the most trusted and accepted biometric technology.